Human-Machine Networks: Towards a Typology and Profiling Framework
February 23, 2016 Β· Declared Dead Β· π InteracciΓ³n
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Authors
Aslak Wegner Eide, J. Brian Pickering, Taha Yasseri, George Bravos, AsbjΓΈrn FΓΈlstad, Vegard Engen, Milena Tsvetkova, Eric T. Meyer, Paul Walland, Marika LΓΌders
arXiv ID
1602.07199
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.CY,
cs.SI
Citations
21
Venue
InteracciΓ³n
Last Checked
4 months ago
Abstract
In this paper we outline an initial typology and framework for the purpose of profiling human-machine networks, that is, collective structures where humans and machines interact to produce synergistic effects. Profiling a human-machine network along the dimensions of the typology is intended to facilitate access to relevant design knowledge and experience. In this way the profiling of an envisioned or existing human-machine network will both facilitate relevant design discussions and, more importantly, serve to identify the network type. We present experiences and results from two case trials: a crisis management system and a peer-to-peer reselling network. Based on the lessons learnt from the case trials we suggest potential benefits and challenges, and point out needed future work.
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